Who is this class for: This course is primarily aimed at individuals with some fundamental data visualization knowledge, who are familiar with Tableau, and want to increase their knowledge in explanatory analysis, applying key design principles and data storytelling. This is the fourth course in a series designed for the beginner who wants to gain experience in presenting data visually. It is also appropriate for those who can analyze data and want to gain more exposure to visualization design concepts.


Created by:  University of California, Davis

  • Govind Acharya

    Taught by:  Govind Acharya, Principal Analyst

    Budget and Institutional Analysis

  • Hunter Whitney

    Taught by:  Hunter Whitney, Sr. Consultant, Author, Instructor

    Design Strategy and Data Visualization
Basic Info
LevelBeginner
Commitment4 weeks of study, 5-7 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
Syllabus

FAQs
How It Works
课程作业
课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

证书
证书

获得正式认证的作业,并与朋友、同事和雇主分享您的成功。

Creators
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Pricing
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Ratings and Reviews
Rated 4.6 out of 5 of 96 ratings

Very helpful, covering from theories to practice. Very much looking forward to attending the final module.

Very well taught and straigh to the points. Also liked to have different speakers throughout the module: it is refreshing. Thanks and keep it up !

My Favortie course so far in terms of content

Very recommendable course if you are looking for a good training in how to presenting analytical finding based on data.